There are 9 repositories under latent-dirichlet-allocation topic.
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
A PureScript, browser-based implementation of LDA topic modeling.
GraphMat graph analytics framework
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)
A practical guide to topic mining and interactive visualizations
Document Search Engine Tool
BERT, LDA, and TFIDF based keyword extraction in Python
High performance topic modeling for Ruby
Using latent Dirichlet allocation (LDA) in Apache Lucene
Topic modelling on financial news with Natural Language Processing
Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
Hierarchical, multi-label topic modelling with LDA
Use Python and NLTK to build out your own text classifiers and solve common NLP problems
A collection of topic diversity measures for topic modeling
Library of Joint Topic-Sentiment Models
How are topics encoded in semantic space? Repository to accompany PNAS article: https://www.pnas.org/doi/10.1073/pnas.2108801119
Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)
Twitter Mining in Java
Political Discourse Analysis (PDA) of Political Speech Transcripts using Natural Language Processing (NLP)
Explores early fusion and late fusion approaches for Multimodal medical Image Retrieval
Implementation of Inferring Networks of Substitutable and Complementary Products Model paper
Research project on Financial Industry Regulatory Authority (FINRA) Trade Reporting and Compliance Engine (TRACE) academic version
Perform Latent Dirichlet Allocation on scientific articles with Gensim
All files, presentations and documents used in workshops, meetups and seminars
Constructed a structured heterogeneous text corpus graph to transform text classification problem into a node classification problem. Created semantic rich features by using Text GCN and topic modeling based approach-LDA which are then fed into a novel classification model.
Machine Learning and Natural Language Processing of the EEA Corpus via spaCy, Textacy and pyLDAvis and other useful NLP algorithms.
Simple Recommender System for Viblo Website using LDA (Latent Dirichlet Allocation)